This role will be a new member of our Unified Demo Framework (UDF) platform team supporting the launch and management of the F5 Guardrails and Redteam product lines into UDF. The role will focus on designing, deploying, and supporting Kubernetes environments that support a wide variety of use cases across many F5 teams. As a technical expert, the SRE will work closely with cross-functional teams to instantiate AI features, optimize system performance, and ensure reliability in production environments.
Key Responsibilities
Kubernetes Orchestration and Management
- Design, deploy, and manage Kubernetes clusters and ensure efficient container orchestration to support AI workloads.
- Implement and maintain Kubernetes-based deployment pipelines
- Optimize resource allocation within Kubernetes clusters, while reducing costs and maximizing performance.
- Develop and maintain high-availability and fault-tolerant Kubernetes architectures to ensure service continuity
Observability and Monitoring
- Design and implement observability pipelines for real-time monitoring of Kubernetes clusters, including metrics collection for scaling, resource utilization, and system health.
- Leverage tools such as Cloudwatch, DataDog, Grafana, or similar platforms to ensure visibility into Kubernetes-managed workloads
- Establish logging, tracing, and alerting strategies to enable proactive identification and resolution of performance or reliability issues.
Automation and Scalability
- Automate infrastructure management tasks to support the effective deployment and operation of AI functionalities, including upgrades, scaling, and provisioning.
- Support Infrastructure-as-Code (IaC) methodologies for the provisioning and configuration of environments, leveraging tools such as Terraform or Helm.
- Contribute to the development of CI/CD workflows tailored for automatic scaling and effective change management practices
Collaboration and Process I
📌 Site Reliability Engineer III (Hyderabad)
🏢 f5
📍 Hyderabad
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